Abstract
In this paper, we present an analytical model to determine the network connectivity probability of one dimensional linear vehicular ad hoc network (VANET) in the presence of Nakagami fading. In particular, we focus on the probability of being able to convey messages from a source vehicle to a destination vehicle, which may be multiple hops away. This analysis takes into account the variability of the channel and how it affects the network connectivity of a linear VANET. In our model, the communication range of each vehicle is modeled as a random variable due to channel fading. The analytical results are used to study the effect of parameters like path loss exponent and vehicle density on the network connectivity probability. This facility is particularly useful for distributing traffic information related to road safety, weather, and navigation without the need for expensive infrastructure.
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References
IEEE Std. 802.11p Draft Amendment, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Wireless Access in Vehicular Environments (WAVE) (July 2010)
Hartenstein, H., Laberteaux, K.P.: A Tutorial Survey on Vehicular Ad Hoc Networks. IEEE Commun. Mag., 164–171 (2008)
Yousefi, S., Mousavi, M.S., Fathy, M.: Vehicular Ad Hoc Networks (VANETs), Challenges and Perspectives. In: Proc. 6th IEEE Int. Conf. ITST, Chengdu, China, pp. 761–766 (2006)
Artimy, M.M., Robertson, W., Phillips, W.J.: Connectivity with Static Transmission Range in Vehicular Ad Hoc Networks. In: Proc. 3rd Annu. Conf. on Communication Networks and Services Research, Nova Scotia, Canada, pp. 237–242 (2005)
Yousefi, S., Altman, E., El-Azouzi, R., Fathy, M.: Analytical model for connectivity in vehicular ad hoc networks. IEEE Trans. Veh. Technol. 57(6), 3341–3356 (2008)
Wu, J.: Connectivity of Mobile Linear Networks with Dynamic Node Population and Delay Constraint. IEEE JSAC 27(7), 1215–1218 (2009)
Zhuang, Y., Pan, J., Cai, L.: A Probabilistic Model for Message Propagation in Two-Dimensional Vehicular Ad Hoc Networks. In: Proc. of VANET 2010, Chicago (September 2010)
Yousefi, S., Altman, E., El-Azouzi, R., Fathy, M.: Improving connectivity in vehicular ad hoc networks. Comput. Commun. 31(9), 1653–1659 (2008)
Cheng, L., et al.: Mobile Vehicle to Vehicle Narrowband Channel Measurement and Characterisation of the 5.9GHz DSRC frequency band. IEEE JSAC 25(8), 1501–1516 (2007)
Maurer, J., Fugen, T., Wiesbeck, W.: Narrow-band Measurements and Analysis of the Inter-vehicle Transmission Channel at 5.2 GHz. In: Maurer, J., Fugen, T., Wiesbeck, W. (eds.) Proc. of IEEE VTC Spring 2002, pp. 1274–1278 (2002)
Sen, I., Matolak, D.W.: Vehicle-Vehicle channel models for the 5-GHz band. IEEE Trans. Intelligent Transportation Sys. 9(2), 235–245 (2008)
Cheng, L.: Physical Layer Modeling and Analysis for V2V Networks. Ph.D. thesis, Carnegie Mellon University (2007)
Karedal, J., Czink, N., Paier, A., Tufvesson, F., Molisch, A.F.: Pathloss Modeling for Vehicle-to-Vehicle Communications. IEEE Trans. Vehicular Technology 60(1), 323–328 (2011)
Roess, R.P., Prassas, E.S., Mcshane, W.R.: Traffic Engineering, 3rd edn. Pearson Prentice Hall (2004)
Neelakantan, P.C., Babu, A.V.: Computation of minimum transmit power for network connectivity in vehicular ad hoc networks formed by vehicles with random communication range. International Journal of Communication Systems (2012)
Goldsmith, A.: Wireless Communication. Cambridge University Press (2005)
Gradshteyn, S., Ryzhik, I.M.: Table of Integrals, Series, and Products, 7th edn. Academic Press (2007)
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Mathew, N.M., Neelakantan, P.C. (2014). Analyzing the Network Connectivity Probability of a Linear VANET in Nakagami Fading Channels. In: Chatterjee, M., Cao, Jn., Kothapalli, K., Rajsbaum, S. (eds) Distributed Computing and Networking. ICDCN 2014. Lecture Notes in Computer Science, vol 8314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45249-9_34
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DOI: https://doi.org/10.1007/978-3-642-45249-9_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45248-2
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